Barrier function-based adaptive neural network sliding mode control of autonomous surface vehicles-Reference-Cited by-同舟云学术

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Barrier function-based adaptive neural network sliding mode control of autonomous surface vehicles

Published:2021-10 Issue: Volume:238 Page:109684
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Yan Yan,Zhao Xiangtao,Yu Shuanghe,Wang Chaoli

Funder

Dalian High-Level Talent Innovation Program

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference43 articles.

1. Trajectory-tracking and path-following of underactuated autonomous vehicles with parametric modeling uncertainty;Aguiar;IEEE Trans. Automat. Control,2007

2. Adaptive neural network control of AUVs with control input nonlinearities using reinforcement learning;Cui;IEEE Trans. Syst. Man Cybern. Syst.,2017

3. Second-order sliding mode controller design with output constraint;Ding;Automatica,2020

4. Designing discrete-time sliding mode controller with mismatched disturbances compensation;Du;IEEE Trans. Ind. Inform.,2019

5. Sliding Mode Control: Theory and Applications;Edwards,1998

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